A data-driven framework for air quality sensor networks
In this article, we present our research vision of a framework for obtaining quality data in air quality monitoring networks using low-cost sensors (LCSs). The use of LCS networks is gaining increasing acceptance in many IoT air quality applications. However, data quality and reliability issues are...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/408849 |
| Acceso en línea: | https://hdl.handle.net/2117/408849 https://dx.doi.org/10.1109/IOTM.001.2300112 |
| Access Level: | acceso abierto |
| Palabra clave: | Internet of things Machine learning Air quality Sensor networks Data quality Internet de les coses Aprenentatge automàtic Aire -- Qualitat Xarxes de sensors Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic |
| Sumario: | In this article, we present our research vision of a framework for obtaining quality data in air quality monitoring networks using low-cost sensors (LCSs). The use of LCS networks is gaining increasing acceptance in many IoT air quality applications. However, data quality and reliability issues are a major barrier to widespread adoption, which means that the pre-processing tasks that are critical to achieving the required levels of data quality are crucial aspects of LCS network designs. The proposed framework takes advantage of a layered architecture, which has also proven useful in other fields, and from which we show the challenges and state-of-the-art techniques for obtaining quality data. In addition, we show its usefulness in application cases, including a real case with data measured by a LCS deployment measuring O 3 in the area of Barcelona, Spain. |
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